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Reyes A, Hermann BP, Prabhakaran D, Ferguson L, Almane DN, Shih JJ, Iragui‐Madoz VJ, Struck A, Punia V, Jones JE, Busch RM, McDonald CR. Validity of the MoCA as a cognitive screening tool in epilepsy: Are there implications for global care and research? Epilepsia Open 2024; 9:1526-1537. [PMID: 38874380 PMCID: PMC11296095 DOI: 10.1002/epi4.12991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/06/2024] [Accepted: 05/28/2024] [Indexed: 06/15/2024] Open
Abstract
OBJECTIVE This study evaluated the diagnostic performance of a widely available cognitive screener, the Montreal cognitive assessment (MoCA), to detect cognitive impairment in older patients (age ≥ 55) with epilepsy residing in the US, using the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) as the gold standard. METHODS Fifty older adults with focal epilepsy completed the MoCA and neuropsychological measures of memory, language, executive function, and processing speed/attention. The IC-CoDE taxonomy divided participants into IC-CoDE Impaired and Intact groups. Sensitivity and specificity across several MoCA cutoffs were examined. Spearman correlations examined relationships between the MoCA total score and clinical and demographic variables and MoCA domain scores and individual neuropsychological tests. RESULTS IC-CoDE impaired patients demonstrated significantly lower scores on the MoCA total, visuospatial/executive, naming, language, delayed recall, and orientation domain scores (Cohen's d range: 0.336-2.77). The recommended MoCA cutoff score < 26 had an overall accuracy of 72%, 88.2% sensitivity, and 63.6% specificity. A MoCA cutoff score < 24 yielded optimal sensitivity (70.6%) and specificity (78.8%), with overall accuracy of 76%. Higher MoCA total scores were associated with greater years of education (p = 0.016) and fewer antiseizure medications (p = 0.049). The MoCA memory domain was associated with several standardized measures of memory, MoCA language domain with category fluency, and MoCA abstraction domain with letter fluency. SIGNIFICANCE This study provides initial validation of the MoCA as a useful screening tool for older adults with epilepsy that can be used to identify patients who may benefit from comprehensive neuropsychological testing. Further, we demonstrate that a lower cutoff (i.e., <24) better captures cognitive impairment in older adults with epilepsy than the generally recommended cutoff and provides evidence for construct overlap between MoCA domains and standard neuropsychological tests. Critically, similar efforts in other regions of the world are needed. PLAIN LANGUAGE SUMMARY The Montreal cognitive assessment (MoCA) can be a helpful tool to screen for cognitive impairment in older adults with epilepsy. We recommend that adults 55 or older with epilepsy who score less than 24 on the MoCA are referred to a neuropsychologist for a comprehensive evaluation to assess any changes in cognitive abilities and mood.
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Affiliation(s)
- Anny Reyes
- Department of Radiation Medicine & Applied SciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Bruce P. Hermann
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Divya Prabhakaran
- Department of Radiation Medicine & Applied SciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Lisa Ferguson
- Epilepsy CenterNeurological Institute, Cleveland ClinicClevelandOhioUSA
| | - Dace N. Almane
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Jerry J. Shih
- Department of NeuroscienceUniversity of CaliforniaSan DiegoCaliforniaUSA
| | | | - Aaron Struck
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Vineet Punia
- Epilepsy CenterNeurological Institute, Cleveland ClinicClevelandOhioUSA
- Department of NeurologyCleveland ClinicClevelandOhioUSA
| | - Jana E. Jones
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Robyn M. Busch
- Epilepsy CenterNeurological Institute, Cleveland ClinicClevelandOhioUSA
- Department of NeurologyCleveland ClinicClevelandOhioUSA
| | - Carrie R. McDonald
- Department of Radiation Medicine & Applied SciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
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Reyes A, Prabhakaran D, Banegas MP, Shih JJ, Iragui-Madoz VJ, Almane DN, Ferguson L, Jones JE, Busch RM, Hermann BP, McDonald CR. Individual- and community-level social determinants of health are associated with cognition in older adults with focal epilepsy. Epilepsy Behav 2024; 158:109927. [PMID: 38970893 DOI: 10.1016/j.yebeh.2024.109927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 07/08/2024]
Abstract
OBJECTIVE Epilepsy is associated with significant health disparities, including access to specialized care and adverse outcomes that have been associated with several social determinants of health (SDOH). We sought to examine the relationship between individual- and community-level SDOH and cognitive outcomes in older adults with epilepsy. MATERIALS AND METHODS We collected clinical, SDOH, and neuropsychological data in 57 older adults with epilepsy. Individual-level SDOH included patient factors (quality of education, income, insurance, marital status) and early-life environmental factors (parental education and occupation, childhood employment). Neighborhood deprivation was measured with the Area Deprivation Index (ADI). Stepwise regressions were conducted to examine the independent contribution of individual-level SDOH to cognitive performance, and Spearman rho correlations were conducted to examine the relationship between ADI and cognitive performance. The SDOH profiles of patients who met the criteria for cognitive impairment were examined. RESULTS After controlling for clinical variables, patient factors (public health insurance, poorer quality of education) and early-life environmental factors (lower mother's education, lower father's and mother's occupational complexity, history of childhood employment) were significant predictors of lower performance on measures of global cognition, verbal learning and memory, processing speed, and executive function. Higher ADI values (greater disadvantage) were associated with lower scores on global cognitive measures, verbal learning and memory, and executive function. Patients who met criteria for cognitive impairment had, on average, a greater number of adverse SDOH, including lower household incomes and father's education, and higher ADI values compared to those who were cognitively intact. CONCLUSION We provide new evidence of the role of individual- and community-level SDOH on cognitive outcomes in older adults with epilepsy. This emerging literature highlights the need to examine SDOH beyond epilepsy-related clinical factors. These data could inform the development of interventions focused on increasing access to epilepsy care, education, and resources and promoting brain and cognitive health within the most at-risk communities.
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Affiliation(s)
- Anny Reyes
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, San Diego, CA, USA.
| | - Divya Prabhakaran
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, San Diego, CA, USA
| | - Matthew P Banegas
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, San Diego, CA, USA
| | - Jerry J Shih
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | | | - Dace N Almane
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, USA
| | - Lisa Ferguson
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jana E Jones
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, USA
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - Bruce P Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, USA
| | - Carrie R McDonald
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
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3
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Cano-López I, Catalán-Aguilar J, Lozano-García A, Hidalgo V, Hampel KG, Tormos-Pons P, Salvador A, Villanueva V, González-Bono E. Cognitive phenotypes in patients with drug-resistant temporal lobe epilepsy: Relationships with cortisol and affectivity. Clin Neuropsychol 2024:1-24. [PMID: 38965831 DOI: 10.1080/13854046.2024.2375605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 06/28/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVE Drug-resistant temporal lobe epilepsy (TLE) is a neurological disorder characterized by cognitive deficits. This study examined whether patients with TLE and different cognitive phenotypes differ in cortisol levels and affectivity while controlling for demographic and clinical variables. Methods: In this cross-sectional study, 79 adults with TLE underwent neuropsychological evaluation in which memory, language, attention/processing speed, executive function, and affectivity were assessed. Six saliva samples were collected in the afternoon to examine the ability of the hypothalamic-pituitary-adrenal (HPA) axis to descend according to the circadian rhythm (C1 to C6). The cortisol area under the curve concerning ground (AUCg) was computed to examine global cortisol secretion. RESULTS Three cognitive phenotypes were identified: memory impairment, generalized impairment, and no impairment. The memory-impairment phenotype showed higher cortisol levels at C4, C5, and C6 than the other groups (p = 0.03, η2 = 0.06), higher cortisol AUCg than the generalized-impairment phenotype (p = 0.004, η2 = 0.14), and a significant reduction in positive affectivity after the evaluation (p = 0.026, η2 = 0.11). Higher cortisol AUCg and reductions in positive affectivity were significant predictors of the memory-impairment phenotype (p < 0.001; Cox and Snell R2 = 0.47). CONCLUSIONS Patients with memory impairment had a slower decline in cortisol levels in the afternoon, which could be interpreted as an inability of the HPA axis to inhibit itself. Thus, chronic stress may influence hippocampus-dependent cognitive function more than other cognitive functions in patients with TLE.
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Affiliation(s)
- Irene Cano-López
- Institut d'Investigació en Psicologia dels Recursos Humans, del Desenvolupament Organitzacional i de la Qualitat de Vida Laboral (IDOCAL)/Department of Psychobiology, Psychology Center, Universitat de València, Valencia, Spain
| | - Judit Catalán-Aguilar
- Institut d'Investigació en Psicologia dels Recursos Humans, del Desenvolupament Organitzacional i de la Qualitat de Vida Laboral (IDOCAL)/Department of Psychobiology, Psychology Center, Universitat de València, Valencia, Spain
| | - Alejandro Lozano-García
- Faculty of Health Sciences, Valencian International University, Valencia, Spain
- Department of Psychology, Universidad Europea de Valencia, Valencia, Spain
| | - Vanesa Hidalgo
- Department of Psychology and Sociology, Area of Psychobiology, Social and Human Sciences Center, University of Zaragoza, Teruel, Spain
| | - Kevin G Hampel
- Refractory Epilepsy Unit, Neurology Service, Member of ERN EPICARE, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Paula Tormos-Pons
- Institut d'Investigació en Psicologia dels Recursos Humans, del Desenvolupament Organitzacional i de la Qualitat de Vida Laboral (IDOCAL)/Department of Psychobiology, Psychology Center, Universitat de València, Valencia, Spain
| | - Alicia Salvador
- Institut d'Investigació en Psicologia dels Recursos Humans, del Desenvolupament Organitzacional i de la Qualitat de Vida Laboral (IDOCAL)/Department of Psychobiology, Psychology Center, Universitat de València, Valencia, Spain
| | - Vicente Villanueva
- Refractory Epilepsy Unit, Neurology Service, Member of ERN EPICARE, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Esperanza González-Bono
- Institut d'Investigació en Psicologia dels Recursos Humans, del Desenvolupament Organitzacional i de la Qualitat de Vida Laboral (IDOCAL)/Department of Psychobiology, Psychology Center, Universitat de València, Valencia, Spain
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Omisade A, Nugent M, O'Grady C, Ikeda K, Woodroffe S, Legg K, Schmidt M, Biggs K. Cognitive dysfunction at epilepsy onset as a marker for seizure recurrence. Epilepsy Res 2024; 202:107335. [PMID: 38484613 DOI: 10.1016/j.eplepsyres.2024.107335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/15/2024] [Accepted: 02/26/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND Cognitive dysfunction has been correlated with seizure control in chronic epilepsy and in newly diagnosed epilepsy, which potentially makes it a good marker for predicting disease course and seizure control. However, there is a lack of prospective studies examining the role of cognitive dysfunction in predicting seizure recurrence at the earliest stages of the disease, such as following the first unprovoked seizure (UFS) or new onset epilepsy (NOE). METHODS Thirty three adult participants (FS=18, NOE=15) from the Halifax First Seizure Clinic (HFSC) completed a cognitive screening assessment at baseline (typically 3 months following diagnosis); seizure-recurrence was evaluated one year after the initial HFSC visit. RESULTS Cognitive impairment, defined as at least one z-score in the impaired range (≤-1.5) relative to published test norms, was documented in 76% of the patients with seizure recurrence at follow-up and in 55% without seizure recurrence. Speed/executive functions and Memory were the most frequently affected domains, with impaired performance noted in 35% and 29% of the entire sample, respectively. Although the seizure recurrence vs. non-recurrence groups did not differ significantly on likelihood of impairment in any specific cognitive domains, a regression model of seizure recurrence that included years of education, baseline mood and anxiety scores, normal vs. abnormal baseline MRI, and impaired (vs. unimpaired) function in six cognitive domains was significant overall (Χ2 (10) = 24.04, p =.007*, R2N =.77). The regression model was no longer significant with the cognitive variables removed. CONCLUSIONS Subtle cognitive dysfunction, especially in the domains of executive functions and memory are prevalent in individuals at the earliest stages of epilepsy. In addition to abnormal MRI and EEG findings at baseline, which are far less prevalent in FS and NOE, cognitive factors show promise in helping predict seizure recurrence in these populations.
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Affiliation(s)
- Antonina Omisade
- Acquired Brain Injury (Epilepsy Program), Nova Scotia Health Authority, Halifax, Canada; Department of Psychology and Neuroscience, Dalhousie University, Halifax, Canada.
| | - Madison Nugent
- Acquired Brain Injury (Epilepsy Program), Nova Scotia Health Authority, Halifax, Canada
| | | | - Kristin Ikeda
- Division of Neurology, Department of Medicine, Dalhousie University, Canada
| | | | - Karen Legg
- Neurology Department, Nova Scotia Health Authority, Canada
| | - Matthias Schmidt
- Department of Diagnostic Radiology (Neuroradiology section), Dalhousie University, Canada
| | - Krista Biggs
- Neurology Department, Nova Scotia Health Authority, Canada
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5
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Miron G, Müller PM, Hohmann L, Oltmanns F, Holtkamp M, Meisel C, Chien C. Cortical Thickness Patterns of Cognitive Impairment Phenotypes in Drug-Resistant Temporal Lobe Epilepsy. Ann Neurol 2024; 95:984-997. [PMID: 38391006 DOI: 10.1002/ana.26893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 01/26/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVE In temporal lobe epilepsy (TLE), a taxonomy classifying patients into 3 cognitive phenotypes has been adopted: minimally, focally, or multidomain cognitively impaired (CI). We examined gray matter (GM) thickness patterns of cognitive phenotypes in drug-resistant TLE and assessed potential use for predicting postsurgical cognitive outcomes. METHODS TLE patients undergoing presurgical evaluation were categorized into cognitive phenotypes. Network edge weights and distances were calculated using type III analysis of variance F-statistics from comparisons of GM regions within each TLE cognitive phenotype and age- and sex-matched healthy participants. In resected patients, logistic regression models (LRMs) based on network analysis results were used for prediction of postsurgical cognitive outcome. RESULTS A total of 124 patients (63 females, mean age ± standard deviation [SD] = 36.0 ± 12.0 years) and 117 healthy controls (63 females, mean age ± SD = 36.1 ± 12.0 years) were analyzed. In the multidomain CI group (n = 66, 53.2%), 28 GM regions were significantly thinner compared to healthy controls. Focally impaired patients (n = 37, 29.8%) showed 13 regions, whereas minimally impaired patients (n = 21, 16.9%) had 2 significantly thinner GM regions. Regions affected in both multidomain and focally impaired patients included the anterior cingulate cortex, medial prefrontal cortex, medial temporal, and lateral temporal regions. In 69 (35 females, mean age ± SD = 33.6 ± 18.0 years) patients who underwent surgery, LRMs based on network-identified GM regions predicted postsurgical verbal memory worsening with a receiver operating curve area under the curve of 0.70 ± 0.15. INTERPRETATION A differential pattern of GM thickness can be found across different cognitive phenotypes in TLE. Including magnetic resonance imaging with clinical measures associated with cognitive profiles has potential in predicting postsurgical cognitive outcomes in drug-resistant TLE. ANN NEUROL 2024;95:984-997.
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Affiliation(s)
- Gadi Miron
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Paul Manuel Müller
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Louisa Hohmann
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Frank Oltmanns
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Martin Holtkamp
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Christian Meisel
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
| | - Claudia Chien
- Experimental Clinical and Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Berlin, Germany
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6
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Delgado-Alonso C, Delgado-Alvarez A, Díez-Cirarda M, Oliver-Mas S, Cuevas C, Montero-Escribano P, Ramos-Leví AM, Gil-Moreno MJ, López-Carbonero JI, Hermann BP, Matias-Guiu J, Matias-Guiu JA. Cognitive profile in multiple sclerosis and post-COVID condition: a comparative study using a unified taxonomy. Sci Rep 2024; 14:9806. [PMID: 38684843 PMCID: PMC11059260 DOI: 10.1038/s41598-024-60368-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 04/22/2024] [Indexed: 05/02/2024] Open
Abstract
Post-COVID condition (PCC) and multiple sclerosis (MS) share some clinical and demographic features, including cognitive symptoms and fatigue. Some pathophysiological mechanisms well-known in MS, such as autoimmunity, neuroinflammation and myelin damage, have also been implicated in PCC. In this study, we aimed to compare the cognitive phenotypes of two large cohorts of patients with PCC and MS, and to evaluate the relationship between fatigue and cognitive performance. Cross-sectional study including 218 patients with PCC and 218 with MS matched by age, sex, and years of education. Patients were evaluated with a comprehensive neuropsychological protocol and were categorized according to the International Classification of Cognitive Disorders system. Fatigue and depression were also assessed. Cognitive profiles of PCC and MS largely overlapped, with a greater impairment in episodic memory in MS, but with small effect sizes. The most salient deficits in both disorders were in attention and processing speed. The severity of fatigue was greater in patients with PCC. Still, the correlations between fatigue severity and neuropsychological tests were more prominent in the case of MS. There were no differences in the severity of depression among groups. Our study found similar cognitive profiles in PCC and MS. Fatigue was more severe in PCC, but was more associated with cognitive performance in MS. Further comparative studies addressing the mechanisms related to cognitive dysfunction and fatigue may be of interest to advance the knowledge of these disorders and develop new therapies.
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Affiliation(s)
- Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Alfonso Delgado-Alvarez
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - María Díez-Cirarda
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Silvia Oliver-Mas
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Constanza Cuevas
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Paloma Montero-Escribano
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Ana Maria Ramos-Leví
- Department of Endocrinology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), Madrid, Spain
| | - María José Gil-Moreno
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Juan Ignacio López-Carbonero
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Bruce P Hermann
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Jorge Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain
| | - Jordi A Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigacion Sanitaria "San Carlos" (IdISSC), C/Profesor Martín Lagos, 28040, Madrid, Spain.
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Helmstaedter C, Tailby C, Witt JA. Neuropsychology of late-onset epilepsies. Seizure 2024:S1059-1311(24)00078-5. [PMID: 38555201 DOI: 10.1016/j.seizure.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/22/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024] Open
Abstract
In an increasingly ageing society, patients ageing with epilepsy and those with late-onset epilepsies (LOE) represent a challenge for epilepsy care and treatment. Senescence itself bears risks of pathologies which in the form of acute focal damage (e.g. stroke) or slowly progressive degenerative damage can cause seizures and substantial cognitive impairment. There is converging evidence from studies in LOE that cognitive impairments are present from epilepsy onset before treatment is initiated and may even precede the emergence of seizures. This suggests that these impairments (like the seizures) are expressions of the underlying disease. Indeed, both seizures and cognitive impairments can be early indicators of disease conditions which lead to mental decline. Cognitive decline over time poses the challenge of disentangling the interrelation between seizures, treatment effects and underlying disease. This issue must be considered as some of the etiologies for causing neuropsychological decline can be addressed. Medication and active epilepsy can contribute to impairments and their impact may be reversible. Dementia is rare if seizures are what has brought the person to attention, and if this is not accompanied by other slowly developing features (such as cognitive of psychiatric changes). From a neuropsychological point of view choosing the right screening tools or assessments, obtaining the history and timeline of impairments in relation to epilepsy, and most importantly longitudinally following the patients regardless of whether epilepsy is ultimately controlled or not appear essential.
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Affiliation(s)
- C Helmstaedter
- Department of Epileptology, University Hospital Bonn (UKB), 53127 Bonn, Germany.
| | - C Tailby
- Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, 3084, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia; Department of Clinical Neuropsychology, Austin Hospital, Heidelberg, Victoria, 3084, Australia
| | - J-A Witt
- Department of Epileptology, University Hospital Bonn (UKB), 53127 Bonn, Germany
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8
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Liu AA, Barr WB. Overlapping and distinct phenotypic profiles in Alzheimer's disease and late onset epilepsy: a biologically-based approach. Front Neurol 2024; 14:1260523. [PMID: 38545454 PMCID: PMC10965692 DOI: 10.3389/fneur.2023.1260523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/18/2023] [Indexed: 04/05/2024] Open
Abstract
Due to shared hippocampal dysfunction, patients with Alzheimer's dementia and late-onset epilepsy (LOE) report memory decline. Multiple studies have described the epidemiological, pathological, neurophysiological, and behavioral overlap between Alzheimer's Disease and LOE, implying a bi-directional relationship. We describe the neurobiological decline occurring at different spatial in AD and LOE patients, which may explain why their phenotypes overlap and differ. We provide suggestions for clinical recognition of dual presentation and novel approaches for behavioral testing that reflect an "inside-out," or biologically-based approach to testing memory. New memory and language assessments could detect-and treat-memory impairment in AD and LOE at an earlier, actionable stage.
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Affiliation(s)
- Anli A. Liu
- Langone Medical Center, New York University, New York, NY, United States
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY, United States
| | - William B. Barr
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
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9
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Wahed S, Ferguson L, Thompson N, Arrotta K, Busch RM. Influence of psychological factors on the relationship between subjective and objective memory in adults with pharmacoresistant temporal lobe epilepsy. Epilepsy Behav 2024; 150:109552. [PMID: 38134645 DOI: 10.1016/j.yebeh.2023.109552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 12/24/2023]
Abstract
PURPOSE Many adults with temporal lobe epilepsy (TLE) report subjective cognitive impairment; however, prior studies have shown a discrepancy between these subjective complaints and objective cognitive deficits on neuropsychological measures. Mood disorders/symptoms are also common in TLE and have been linked to greater subjective cognitive difficulties. To further understand these relationships, this retrospective study sought to determine if symptoms of depression and anxiety moderate or mediate the relationship between subjective cognitive impairment and objective cognitive performance in adults with TLE. METHOD Participants were 345 adults (mean age = 40.7; 55 % female) with pharmacoresistant TLE who completed self-report screening measures of depression, anxiety, and subjective cognitive function along with objective memory measures as part of a pre-surgical clinical neuropsychological evaluation. A series of linear regression analyses was conducted to examine the potential moderating and mediating effects of mood on the relationship between subjective and objective memory function after adjusting for relevant covariates. RESULTS Consistent with existing literature, self-reported depression and anxiety symptoms were significantly correlated with subjective memory difficulties across all scales (all p < .001). Subjective memory impairment was also significantly correlated with objective memory performance on neuropsychological measures, albeit with small effect sizes (estimate range 0.04-0.20). Contrary to our hypothesis, depression and anxiety did not moderate or mediate the relationship between subjective memory complaints and objective memory performance. CONCLUSIONS While symptoms of depression and anxiety were associated with subjective memory ability in this cohort of adults with TLE, this study suggests that mood symptoms do not fully explain the relationship between subjective and objective memory function, likely reflecting the complex and multifactorial relationships among these variables. Nevertheless, our results highlight the importance of screening for depression and anxiety symptoms and assessing patients' subjective memory complaints as part of a neuropsychological evaluation as each of these factors tap into a different aspect of the patient functioning.
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Affiliation(s)
- Shejuti Wahed
- Department of Psychology, Case Western Reserve University, Cleveland, OH, United States.
| | - Lisa Ferguson
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States.
| | - Nicolas Thompson
- Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
| | - Kayela Arrotta
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States; Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States.
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States; Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States.
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Bingaman N, Ferguson L, Thompson N, Reyes A, McDonald CR, Hermann BP, Arrotta K, Busch RM. The relationship between mood and anxiety and cognitive phenotypes in adults with pharmacoresistant temporal lobe epilepsy. Epilepsia 2023; 64:3331-3341. [PMID: 37814399 DOI: 10.1111/epi.17795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVE Patients with temporal lobe epilepsy (TLE) are often at a high risk for cognitive and psychiatric comorbidities. Several cognitive phenotypes have been identified in TLE, but it is unclear how phenotypes relate to psychiatric comorbidities, such as anxiety and depression. This observational study investigated the relationship between cognitive phenotypes and psychiatric symptomatology in TLE. METHODS A total of 826 adults (age = 40.3, 55% female) with pharmacoresistant TLE completed a neuropsychological evaluation that included at least two measures from five cognitive domains to derive International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) cognitive phenotypes (i.e., intact, single-domain impairment, bi-domain impairment, generalized impairment). Participants also completed screening measures for depression and anxiety. Psychiatric history and medication data were extracted from electronic health records. Multivariable proportional odds logistic regression models examined the relationship between IC-CoDE phenotypes and psychiatric variables after controlling for relevant covariates. RESULTS Patients with elevated depressive symptoms had a greater odds of demonstrating increasingly worse cognitive phenotypes than patients without significant depressive symptomatology (odds ratio [OR] = 1.123-1.993, all corrected p's < .05). Number of psychotropic (OR = 1.584, p < .05) and anti-seizure medications (OR = 1.507, p < .001), use of anti-seizure medications with mood-worsening effects (OR = 1.748, p = .005), and history of a psychiatric diagnosis (OR = 1.928, p < .05) also increased the odds of a more severe cognitive phenotype, while anxiety symptoms were unrelated. SIGNIFICANCE This study demonstrates that psychiatric factors are not only associated with function in specific cognitive domains but also with the pattern and extent of deficits across cognitive domains. Results suggest that depressive symptoms and medications are strongly related to cognitive phenotype in adults with TLE and support the inclusion of these factors as diagnostic modifiers for cognitive phenotypes in future work. Longitudinal studies that incorporate neuroimaging findings are warranted to further our understanding of the complex relationships between cognition, mood, and seizures and to determine whether non-pharmacologic treatment of mood symptoms alters cognitive phenotype.
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Affiliation(s)
- Nolan Bingaman
- Department of Psychology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Lisa Ferguson
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Ohio, Cleveland, USA
| | - Nicolas Thompson
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Anny Reyes
- Department of Radiation Medicine and Applied Sciences and Psychiatry, University of California, San Diego, California, USA
| | - Carrie R McDonald
- Department of Radiation Medicine and Applied Sciences and Psychiatry, University of California, San Diego, California, USA
| | - Bruce P Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kayela Arrotta
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Ohio, Cleveland, USA
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Ohio, Cleveland, USA
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Li Y, Liu P, Lin Q, Zhou D, An D. Postoperative seizure and memory outcome of temporal lobe epilepsy with hippocampal sclerosis: A systematic review. Epilepsia 2023; 64:2845-2860. [PMID: 37611927 DOI: 10.1111/epi.17757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/21/2023] [Accepted: 08/21/2023] [Indexed: 08/25/2023]
Abstract
We conducted a systematic review and meta-analysis to evaluate postoperative seizure and memory outcomes of temporal lobe epilepsy with different hippocampal sclerosis (HS) subtypes classified by International League Against Epilepsy (ILAE) Consensus Guidelines in 2013. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and MOOSE (Meta-Analysis of Observational Studies in Epidemiology) guidelines, we searched PubMed, Embase, Web of Science, and Cochrane Library from January 1, 2013 to August 6, 2023. Observational studies reporting seizure and memory outcomes among different HS subtypes were included. We used the Newcastle-Ottawa scale to assess the risk of bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to grade the quality of evidence. Seizure freedom and improved outcome (Engel 1 or ILAE class 1-2) ≥1 year after surgery were defined as the primary and secondary seizure outcome. A random-effects meta-analysis by DerSimonian and Laird method was performed to obtain pooled risk ratio (RRs) with 95% confidence interval (CIs). The memory impairment was narratively reviewed because of various evaluation tools. Fifteen cohort studies with 2485 patients were eligible for the meta-analysis of seizure outcome. Six cohorts with detailed information on postoperative memory outcome were included. The pooled RRs of seizure freedom, with moderate to substantial heterogeneity, were .98 (95% CI = .84-1.15) between HS type 2 and type 1, 1.11 (95% CI = .82-1.52) between type 3 and type 1, and .80 (95% CI = .62-1.03) between the no-HS and HS groups. No significant difference of improved outcome was found between different subtypes (p > .05). The quality of evidence was deemed to be low to very low according to GRADE. The long-term seizure outcome (≥5 years after surgery) and memory impairment remained controversial.
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Affiliation(s)
- Yuming Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Peiwen Liu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiuxing Lin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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Reyes A, Schneider ALC, Kucharska-Newton AM, Gottesman RF, Johnson EL, McDonald CR. Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study. Front Neurol 2023; 14:1230368. [PMID: 37745655 PMCID: PMC10513940 DOI: 10.3389/fneur.2023.1230368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 08/02/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Cognitive phenotyping is a widely used approach to characterize the heterogeneity of deficits in patients with a range of neurological disorders but has only recently been applied to patients with epilepsy. In this study, we identify cognitive phenotypes in older adults with late-onset epilepsy (LOE) and examine their demographic, clinical, and vascular profiles. Further, we examine whether specific phenotypes pose an increased risk for progressive cognitive decline. Methods Participants were part of the Atherosclerosis Risk in Communities Study (ARIC), a prospective longitudinal community-based cohort study of 15,792 individuals initially enrolled in 1987-1989. LOE was identified from linked Centers for Medicare and Medicaid Services claims data. Ninety-one participants with LOE completed comprehensive testing either prior to or after seizure onset as part of a larger cohort in the ARIC Neurocognitive Study in either 2011-2013 or 2016-2017 (follow-up mean = 4.9 years). Cognitive phenotypes in individuals with LOE were derived by calculating test-level impairments for each participant (i.e., ≤1 SD below cognitively normal participants on measures of language, memory, and executive function/processing speed); and then assigning participants to phenotypes if they were impaired on at least two tests within a domain. The total number of impaired domains was used to determine the cognitive phenotypes (i.e., Minimal/No Impairment, Single Domain, or Multidomain). Results At our baseline (Visit 5), 36.3% met criteria for Minimal/No Impairment, 35% for Single Domain Impairment (with executive functioning/ processing speed impaired in 53.6%), and 28.7% for Multidomain Impairment. The Minimal/No Impairment group had higher education and occupational complexity. There were no differences in clinical or vascular risk factors across phenotypes. Of those participants with longitudinal data (Visit 6; n = 24), 62.5% declined (i.e., progressed to a more impaired phenotype) and 37.5% remained stable. Those who remained stable were more highly educated compared to those that declined. Discussion Our results demonstrate the presence of identifiable cognitive phenotypes in older adults with LOE. These results also highlight the high prevalence of cognitive impairments across domains, with deficits in executive function/processing speed the most common isolated impairment. We also demonstrate that higher education was associated with a Minimal/No Impairment phenotype and lower risk for cognitive decline over time.
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Affiliation(s)
- Anny Reyes
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Andrea L. C. Schneider
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Anna M. Kucharska-Newton
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, MD, United States
| | - Emily L. Johnson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Carrie R. McDonald
- Department of Radiation Medicine & Applied Sciences, University of California, San Diego, La Jolla, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
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13
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Reyes A, Salinas L, Hermann BP, Baxendale S, Busch RM, Barr WB, McDonald CR. Establishing the cross-cultural applicability of a harmonized approach to cognitive diagnostics in epilepsy: Initial results of the International Classification of Cognitive Disorders in Epilepsy in a Spanish-speaking sample. Epilepsia 2023; 64:728-741. [PMID: 36625416 PMCID: PMC10394710 DOI: 10.1111/epi.17501] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study was undertaken to evaluate the cross-cultural application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) to a cohort of Spanish-speaking patients with temporal lobe epilepsy (TLE) living in the United States. METHODS Eighty-four Spanish-speaking patients with TLE completed neuropsychological measures of memory, language, executive function, visuospatial functioning, and attention/processing speed as part of the Neuropsychological Screening Battery for Hispanics. The contribution of demographic and clinical variables to cognitive performance was evaluated. A sensitivity analysis was conducted by examining the base rates of impairment across several impairment thresholds. The IC-CoDE taxonomy was then applied, and the base rate of cognitive phenotypes for each cutoff was calculated. The distribution of phenotypes was compared to the published IC-CoDE taxonomy data, which utilized a large, multicenter cohort of English-speaking patients with TLE. RESULTS Across the different impairment cutoffs, memory was the most impaired cognitive domain, with impairments in list learning ranging from 50% to 78%. Application of the IC-CoDE taxonomy utilizing a -1.5-SD cutoff revealed an intact cognitive profile in 47.6% of patients, single-domain impairment in 23.8% of patients, bidomain impairment in 14.3% of patients, and generalized impairment in 14.3% of the sample. This distribution was comparable to the phenotype distribution observed in the IC-CoDE validation sample. SIGNIFICANCE We demonstrate a similar pattern and distribution of cognitive phenotypes in a Spanish-speaking epilepsy cohort compared to an English-speaking sample. This suggests stability in the underlying phenotypes associated with TLE and applicability of the IC-CoDE for guiding cognitive diagnostics in epilepsy research that can be applied to culturally and linguistically diverse samples.
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Affiliation(s)
- Anny Reyes
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, CA, USA
| | - Lilian Salinas
- New York University Langone Comprehensive Epilepsy Center, New York, NY, USA
| | - Bruce P. Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health USA
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology
| | - Robyn M. Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - William B. Barr
- New York University Langone Comprehensive Epilepsy Center, New York, NY, USA
- Departments of Neurology and Psychiatry, NYU-Langone Medical Center and NYU School of Medicine, New York, NY, USA
| | - Carrie R. McDonald
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, CA, USA
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14
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Relationship between visuoperceptual functions and parietal structural abnormalities in temporal lobe epilepsy. Brain Imaging Behav 2023; 17:35-43. [PMID: 36357555 DOI: 10.1007/s11682-022-00738-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 11/12/2022]
Abstract
Progressive gray matter volume reductions beyond the epileptogenic area has been described in temporal lobe epilepsy. There is less evidence regarding correlations between gray and white matter volume changepres and multi-domain cognitive performance in this setting. We aimed to investigate correlations between volume changes in parietal structures and visuospatial performance in temporal lobe epilepsy patients. we performed a cross-sectional study comparing global and regional brain volume data from 34 temporal lobe epilepsy patients and 30 healthy controls. 3D T1-weighted sequences were obtained on a 3.0 T magnet, and data were analyzed using age and sex-adjusted linear regression models. Global and regional brain volumes and cortical thickness in patients were correlated with standardized visual memory, visuoperceptual, visuospatial, and visuoconstructive parameters obtained in a per-protocol neuropsychological assessment. temporal lobe epilepsy patients had smaller volume fractions of the deep gray matter structures, putamen and nucleus accumbens, and larger cerebrospinal fluid volume fraction than controls. Correlations were found between: 1) visual memory and precuneus and inferior parietal cortical thickness; 2) visuoperceptual performance and precuneus and supramarginal white matter volumes; 3) visuospatial skills and precuneus, postcentral, and inferior and superior parietal white matter volumes; 4) visuoconstructive performance and inferior parietal white matter volume. Brain volume loss is widespread in temporal lobe epilepsy. Volumetric reductions in parietal lobe structures were associated with visuoperceptual cognitive performance.
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15
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Matias-Guiu JA, Herrera E, González-Nosti M, Krishnan K, Delgado-Alonso C, Díez-Cirarda M, Yus M, Martínez-Petit Á, Pagán J, Matías-Guiu J, Ayala JL, Busch R, Hermann BP. Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach. Psychiatry Res 2023; 319:115006. [PMID: 36521337 DOI: 10.1016/j.psychres.2022.115006] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/27/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND We aimed to develop objective criteria for cognitive dysfunction associated with the post-COVID syndrome. METHODS Four hundred and four patients with post-COVID syndrome from two centers were evaluated with comprehensive neuropsychological batteries. The International Classification for Cognitive Disorders in Epilepsy (IC-CoDE) framework was adapted and implemented. A healthy control group of 145 participants and a complementary data-driven approach based on unsupervised machine-learning clustering algorithms were also used to evaluate the optimal classification and cutoff points. RESULTS According to the developed criteria, 41.2% and 17.3% of the sample were classified as having at least one cognitive domain impaired using -1 and -1.5 standard deviations as cutoff points. Attention/processing speed was the most frequently impaired domain. There were no differences in base rates of cognitive impairment between the two centers. Clustering analysis revealed two clusters, although with an important overlap (silhouette index 0.18-0.19). Cognitive impairment was associated with younger age and lower education levels, but not hospitalization. CONCLUSIONS We propose a harmonization of the criteria to define and classify cognitive impairment in the post-COVID syndrome. These criteria may be extrapolated to other neuropsychological batteries and settings, contributing to the diagnosis of cognitive deficits after COVID-19 and facilitating multicenter studies to guide biomarker investigation and therapies.
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Affiliation(s)
- Jordi A Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos. Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.
| | - Elena Herrera
- Faculty of Psychology, University of Oviedo, Oviedo, Spain
| | | | - Kamini Krishnan
- Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico San Carlos. Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Díez-Cirarda
- Department of Neurology, Hospital Clínico San Carlos. Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Yus
- Department of Radiology, Clinico San Carlos. Health Research Institute "San Carlos" (IdISCC). Universidad Complutense de Madrid, Madrid, Spain
| | - Álvaro Martínez-Petit
- Department of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain
| | - Josué Pagán
- Department of Electronic Engineering, Universidad Politécnica de Madrid, Madrid, Spain; Center for Computational Simulation, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Neurology, Hospital Clínico San Carlos. Health Research Institute "San Carlos" (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - José Luis Ayala
- Center for Computational Simulation, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain; Department of Automatic Architecture and Automation, Universidad Complutense, Madrid, Spain
| | - Robyn Busch
- Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - Bruce P Hermann
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
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Reyes A, Hermann BP, Busch RM, Drane DL, Barr WB, Hamberger MJ, Roesch SC, McDonald CR. Moving towards a taxonomy of cognitive impairments in epilepsy: application of latent profile analysis to 1178 patients with temporal lobe epilepsy. Brain Commun 2022; 4:fcac289. [PMID: 36447559 PMCID: PMC9692194 DOI: 10.1093/braincomms/fcac289] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/07/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022] Open
Abstract
In efforts to understand the cognitive heterogeneity within and across epilepsy syndromes, cognitive phenotyping has been proposed as a new taxonomy aimed at developing a harmonized approach to cognitive classification in epilepsy. Data- and clinically driven approaches have been previously used with variability in the phenotypes derived across studies. In our study, we utilize latent profile analysis to test several models of phenotypes in a large multicentre sample of patients with temporal lobe epilepsy and evaluate their demographic and clinical profiles. For the first time, we examine the added value of replacing missing data and examine factors that may be contributing to missingness. A sample of 1178 participants met the inclusion criteria for the study, which included a diagnosis of temporal lobe epilepsy and the availability of comprehensive neuropsychological data. Models with two to five classes were examined using latent profile analysis and the optimal model was selected based on fit indices, posterior probabilities and proportion of sample sizes. The models were also examined with imputed data to investigate the impact of missing data on model selection. Based on the fit indices, posterior probability and distinctiveness of the latent classes, a three-class solution was the optimal solution. This three-class solution comprised a group of patients with multidomain impairments, a group with impairments predominantly in language and a group with no impairments. Overall, the multidomain group demonstrated a worse clinical profile and comprised a greater proportion of patients with mesial temporal sclerosis, a longer disease duration and a higher number of anti-seizure medications. The four-class and five-class solutions demonstrated the lowest probabilities of a group membership. Analyses with imputed data demonstrated that the four-class solution was the optimal solution; however, there was a weak agreement between the missing and imputed data sets for the four-Class solutions (κ = 0.288, P < 0.001). This study represents the first to use latent profile analysis to test and compare multiple models of cognitive phenotypes in temporal lobe epilepsy and to determine the impact of missing data on model fit. We found that the three-phenotype model was the most meaningful based on several fit indices and produced phenotypes with unique demographic and clinical profiles. Our findings demonstrate that latent profile analysis is a rigorous method to identify phenotypes in large, heterogeneous epilepsy samples. Furthermore, this study highlights the importance of examining the impact of missing data in phenotyping methods. Our latent profile analysis-derived phenotypes can inform future studies aimed at identifying cognitive phenotypes in other neurological disorders.
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Affiliation(s)
- Anny Reyes
- Center for Multimodal Imaging and Genetics, University of CaliforniaSan Diego, La Jolla, CA 92093, USA
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120, USA
| | - Bruce P Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH 44106, USA
- Department of Neurology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Daniel L Drane
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, University of Washington, Seattle, WA 98195, USA
| | - William B Barr
- Department of Neurology, NYU-Langone Medical Center and NYU School of Medicine, New York, NY 10016, USA
- Department of Psychiatry, NYU-Langone Medical Center and NYU School of Medicine, New York, NY 10016, USA
| | - Marla J Hamberger
- Department of Neurology, Columbia University, New York, NY 10027, USA
| | - Scott C Roesch
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
| | - Carrie R McDonald
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92093, USA
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17
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Arrotta K, Reyes A, Kaestner E, McDonald CR, Hermann BP, Barr WB, Sarmey N, Sundar S, Kondylis E, Najm I, Bingaman W, Busch RM. Cognitive phenotypes in frontal lobe epilepsy. Epilepsia 2022; 63:1671-1681. [PMID: 35429174 PMCID: PMC9545860 DOI: 10.1111/epi.17260] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/12/2022] [Accepted: 04/13/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Neuropsychological profiles are heterogeneous both across and within epilepsy syndromes, but especially in frontal lobe epilepsy (FLE), which has complex semiology and epileptogenicity. This study aimed to characterize the cognitive heterogeneity within FLE by identifying cognitive phenotypes and determining their demographic and clinical characteristics. METHOD One hundred and six patients (age 16-66; 44% female) with FLE completed comprehensive neuropsychological testing, including measures within five cognitive domains: language, attention, executive function, processing speed, and verbal/visual learning. Patients were categorized into one of four phenotypes based on the number of impaired domains. Patterns of domain impairment and clinical and demographic characteristics were examined across phenotypes. RESULTS Twenty-five percent of patients met criteria for the Generalized Phenotype (impairment in at least four domains), 20% met criteria for the Tri-Domain Phenotype (impairment in three domains), 36% met criteria for the Domain-Specific Phenotype (impairment in one or two domains), and 19% met criteria for the Intact Phenotype (no impairment). Language was the most common domain-specific impairment, followed by attention, executive function, and processing speed. In contrast, learning was the least impacted cognitive domain. The Generalized Phenotype had fewer years of education compared to the Intact Phenotype, but otherwise, there was no differentiation between phenotypes in demographic and clinical variables. However, qualitative analysis suggested that the Generalized and Tri-Domain Phenotypes had a more widespread area of epileptogenicity, whereas the Intact Phenotype most frequently had seizures limited to the lateral frontal region. SIGNIFICANCE This study identified four cognitive phenotypes in FLE that were largely indistinguishable in clinical and demographic features, aside from education and extent of epileptogenic zone. These findings enhance our appreciation of the cognitive heterogeneity within FLE and provide additional support for the development and use of cognitive taxonomies in epilepsy.
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Affiliation(s)
- Kayela Arrotta
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Department of NeurologyNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Anny Reyes
- San Diego Joint Doctoral Program in Clinical PsychologySan Diego State University/University of CaliforniaSan DiegoCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Erik Kaestner
- Center for Multimodal Imaging and GeneticsUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Carrie R. McDonald
- San Diego Joint Doctoral Program in Clinical PsychologySan Diego State University/University of CaliforniaSan DiegoCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of CaliforniaSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Bruce P. Hermann
- Department of NeurologySchool of Medicine and Public HealthUniversity of WisconsinMadisonWisconsinUSA
| | - William B. Barr
- Department of NeurologyNYU Grossman School of MedicineNew York CityNew YorkUSA
| | - Nehaw Sarmey
- Department of NeurosurgeryNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Swetha Sundar
- Department of NeurosurgeryNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Efstathios Kondylis
- Department of NeurosurgeryNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Imad Najm
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Department of NeurologyNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - William Bingaman
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Department of NeurosurgeryNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Robyn M. Busch
- Epilepsy CenterNeurological InstituteCleveland ClinicClevelandOhioUSA
- Department of NeurologyNeurological InstituteCleveland ClinicClevelandOhioUSA
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